Katrin Parmar

1.2k citations
34 papers · 739 indexed · 1 hit paper · h-index 12

Impact in

Papers in

Katrin Parmar

33 papers receiving 734 citations

Hit Papers

Serum neurofilament as a predictor of disease worsening and brain and spinal cord atrophy in multiple sclerosis 2018 · 367 citations
3672018202620202023100200300

Peers

Katrin Parmar
Comparison fields: 5 of 78
  • Pathology and Forensic Medicine 560
  • Developmental Neuroscience 78
  • Neurology 238
  • Neurology 114
  • Rheumatology 109
Replace Charidimos Tsagkas with:
Charidimos Tsagkas Switzerland
Eero Rissanen Finland
Susanna Asseyer Germany
Rosa Cortese Italy
Marcus Sucksdorff Finland
Joseph Kuchling Germany
Léorah Freeman United States
Mark B. Skeen United States
Nilüfer Kale Türkiye
Félix Scholtes Belgium
Katrin Parmar relative to Charidimos Tsagkas Switzerland Charidimos Tsagkas's profile →
Citations per field
00.5×1.5×
Charidimos Tsagkas · 1×
Citations per year

Countries citing papers authored by Katrin Parmar

Since Specialization
Citations

This map shows the geographic impact of Katrin Parmar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Katrin Parmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katrin Parmar more than expected).

Fields of papers citing papers by Katrin Parmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katrin Parmar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Katrin Parmar. The network helps show where Katrin Parmar may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Katrin Parmar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Katrin Parmar Line = papers co-authored together Katrin Parmar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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15 202037
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17 201911
18 20193
19 20182
20 201859

About Katrin Parmar

Katrin Parmar is a scholar working on Pathology and Forensic Medicine, Neurology, Neurology, Rehabilitation and Rheumatology, having authored 34 papers that have together received 739 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (20 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Vestibular and auditory disorders (6 papers), Systemic Lupus Erythematosus Research (4 papers), Stroke Rehabilitation and Recovery (3 papers), Peripheral Neuropathies and Disorders (3 papers), Ultrasound Imaging and Elastography (2 papers) and Dementia and Cognitive Impairment Research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (560 citations), Developmental Neuroscience (78 citations), Neurology (238 citations), Neurology (114 citations) and Rheumatology (109 citations). Katrin Parmar has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Ludwig Kappos, Charidimos Tsagkas, Michael Amann, Jens Wuerfel, Yvonne Naegelin, Cristina Granziera, Jens Kühle, Christian Barro, Zuzanna Michalak and Pascal Benkert. Their work appears in journals such as Journal of Neurology, Frontiers in Neurology, Scientific Reports, Multiple Sclerosis Journal and American Journal of Neuroradiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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